Results 51 to 60 of about 145,155 (289)

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Migrative armadillo optimization enabled a one-dimensional quantum convolutional neural network for supply chain demand forecasting.

PLoS ONE
Demand forecasting is a quite challenging task, which is sensitive to several factors such as endogenous and exogenous parameters. In the context of supply chain management, demand forecasting aids to optimize the resources effectively.
Mohamed Irhuma, Ahmad Alzubi, Tolga Öz, Kolawole Iyiola   +3 more
doaj   +1 more source

Penaksir Rasio untuk Rata-rata Populasi pada Sampling Acak Sederhana Menggunakan Koefisien Variasi dan Median [PDF]

, 2014
This paper discusses three ratio estimators for the population mean in simple randomsampling using coefficient of variation and median of an auxiliary variable, which is areview from the article of Subramani and Kumarapandiyan.
Adnan, A. (Arisman), Rahmadani, R. (Riski), Sirait, H. (Haposan)   +2 more
core  

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

PERAMALAN BEBAN LISTRIK JANGKA PENDEK DI BALI MENGGUNAKAN PENDEKATAN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)

Majalah Ilmiah Teknologi Elektro, 2012
Dalam operasi sistem tenaga listrik diperlukan suatu peramalan beban listrik. Metode yang digunakan dalam meramalkan beban listrik, salah satunya adalah metode ANFIS.
Putu Arya Mertasana, Gde Dyana Arjana
doaj  

Modern techniques in variance estimation with auxiliary information: a logarithmic perspective

Arab Journal of Basic and Applied Sciences
Variance estimation is essential to statistical analysis because it sheds light on the accuracy and dependability of estimations. The effectiveness of traditional methods is frequently increased by using linear connections between the study and auxiliary
Poonam Singh, Prayas Sharma, Anjali Singh, Anamika Kumari   +3 more
doaj   +1 more source

Model Evaluation for Forecasting Traffic Accident Severity in Rainy Seasons Using Machine Learning Algorithms: Seoul City Study

Applied Sciences, 2019
There have been numerous studies on traffic accidents and their severity, particularly in relation to weather conditions and road geometry. In these studies, traditional statistical methods have been employed, such as linear regression, logistic ...
Jonghak Lee, Taekwan Yoon, Sangil Kwon, Jongtae Lee   +3 more
doaj   +1 more source

Transceiver design for non-regenerative MIMO relay systems with decision feedback detection [PDF]

, 2010
In this paper we consider the design of zero forcing (ZF) and minimum mean square error (MMSE) transceivers for non-regenerative multiple input multiple output (MIMO) relay networks.
Millar, Andrew Paul, Weiss, Stephan
core  

Improved Estimator in the Presence of Multicollinearity [PDF]

, 2012
The performances of two biased estimators for the general linear regression model under conditions of collinearity are examined and a new proposed ridge parameter is introduced.
Khalaf, Ghadban
core   +2 more sources

Exciton Binding Energy Modulation in 2D Perovskites: A Phenomenological Keldysh Framework

Advanced Functional Materials, EarlyView.
The intrinsic screening effects are successfully decoupled from structural distortion by rigorously designing a series of 2D perovskites. This enabled us to demonstrate how the dielectric environment modulates the quasiparticle bandgap and exciton binding energy.
Kitae Kim, Namhee Kwon, Sang Woo Park, Wonsik Kim, Seunghwan Kim, Eunki Yoon, Aelim Ha, Donggyu Lee, Young Yong Kim, Jong‐Cheol Lee, Sungho Lee, Junghan Lee, Kyu Hyoung Lee, Yeonjin Yi, Ki‐Ha Hong, Soohyung Park   +15 more
wiley   +1 more source